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supercells  

Superpixels of Spatial Data
View on CRAN: Click here


Download and install supercells package within the R console
Install from CRAN:
install.packages("supercells")

Install from Github:
library("remotes")
install_github("cran/supercells")

Install by package version:
library("remotes")
install_version("supercells", "1.0.0")



Attach the package and use:
library("supercells")
Maintained by
Jakub Nowosad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-16
Latest Update: 2024-02-11
Description:
Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.
How to cite:
Jakub Nowosad (2022). supercells: Superpixels of Spatial Data. R package version 1.0.0, https://cran.r-project.org/web/packages/supercells. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.8.0 (2022-02-16 21:00), 0.8.2 (2022-03-08 14:10), 0.9.1 (2022-06-04 20:00), 0.9.5 (2023-11-11 16:40)
Other packages that cited supercells R package
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Other R packages that supercells depends, imports, suggests or enhances
Complete documentation for supercells
Functions, R codes and Examples using the supercells R package
Some associated functions: supercells-package . supercells . 
Some associated R codes: cpp11.R . supercells-package.R . supercells.R .  Full supercells package functions and examples
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